Spaceborne multiview image compression based on adaptive disparity compensation with rate-distortion optimization

Shigao Li; Kehua Su; Liming Jia

doi:10.1117/1.JRS.10.015009

5 February 2016 Spaceborne multiview image compression based on adaptive disparity compensation with rate-distortion optimization

Shigao Li, Kehua Su, Liming Jia

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 1, 015009 (February 2016). https://doi.org/10.1117/1.JRS.10.015009

Abstract

Disparity compensation (DC) and transform coding are incorporated into a hybrid coding to reduce the code-rate of multiview images. However, occlusion and inaccurate disparity estimations (DE) impair the performance of DC, especially in spaceborne images. This paper proposes an adaptive disparity-compensation scheme for the compression of spaceborne multiview images, including stereo image pairs and three-line-scanner images. DC with adaptive loop filter is used to remove redundancy between reference images and target images and a wavelet-based coding method is used to encode reference images and residue images. In occlusion regions, the DC efficiency may be poor because no interview correlation exists. A rate-distortion optimization method is thus designed to select the best prediction mode for local regions. Experimental results show that the proposed scheme can provide significant coding gain compared with some other similar coding schemes, and the time complexity is also competitive.

Citation Download Citation

Shigao Li, Kehua Su, and Liming Jia "Spaceborne multiview image compression based on adaptive disparity compensation with rate-distortion optimization," Journal of Applied Remote Sensing 10(1), 015009 (5 February 2016). https://doi.org/10.1117/1.JRS.10.015009

Published: 5 February 2016

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